帮我优化一下 Map<String, MallHomePage> budgetAchievementReport = inDataAdaptor.getBudgetAchievementReport(); if (!CollectionUtils.isEmpty(budgetAchievementReport)){ if (budgetAchievementReport.containsKey(mallCoed)) { MallHomePage mallHomePage = budgetAchievementReport.get(mallCoed); berthWarningDto.setRentalRate(new BigDecimal(1).subtract(mallHomePage.getTotal_rented_rate().setScale(2, BigDecimal.ROUND_HALF_UP))); } }

可以尝试使用 Optional 类型和函数式编程来简化代码，如下所示：

Optional<MallHomePage> mallHomePageOptional = Optional.ofNullable(inDataAdaptor.getBudgetAchievementReport().get(mallCode));
mallHomePageOptional.ifPresent(mallHomePage -> berthWarningDto.setRentalRate(BigDecimal.ONE.subtract(mallHomePage.getTotal_rented_rate().setScale(2, BigDecimal.ROUND_HALF_UP))));

相关问题

优化 private void addReferencedKpi(List<SimulationTableDto> list, List<String> codeList, List<Map<String, List<String>>> referencedList) { if (CollectionUtils.isEmpty(list) || CollectionUtils.isEmpty(codeList) || CollectionUtils.isEmpty(referencedList)) { return; } // 转换结构 key1-table key2-column value-codeList Map<String, Map<String, List<String>>> tableColumnWithCodeListMap = Maps.newHashMap(); int size = referencedList.size(); for (int i = 0; i < size; i++) { String code = codeList.get(i); Map<String, List<String>> referencedPerMap = referencedList.get(i); if (MapUtils.isEmpty(referencedPerMap)) { continue; } referencedPerMap.forEach((table, columns) -> { tableColumnWithCodeListMap.putIfAbsent(table, Maps.newHashMap()); for (String column : columns) { tableColumnWithCodeListMap.get(table).putIfAbsent(column, Lists.newArrayList()); tableColumnWithCodeListMap.get(table).get(column).add(code); } }); } for (SimulationTableDto simulationTableDto : list) { String simTableName = simulationTableDto.getTableName(); String simTitle = simulationTableDto.getColumn().getTitle(); if (!tableColumnWithCodeListMap.containsKey(simTableName) || !tableColumnWithCodeListMap.get(simTableName).containsKey(simTitle)) { continue; } List<String> referencedCodeList = tableColumnWithCodeListMap.get(simTableName).get(simTitle); simulationTableDto.getColumn().setReferencedKpis(referencedCodeList); } }

可以尝试优化一下代码结构，减少嵌套层数，使得代码更加易读和易维护。例如可以将转换结构的代码抽取成一个单独的方法，用于处理每个 referencedPerMap 中的数据，并返回转换后的表格和列名以及对应的 codeList 的 Map 对象。同时，可以考虑使用 Java 8 的 Stream API，更加简洁地实现循环操作。修改后的代码如下：

private void addReferencedKpi(List<SimulationTableDto> list, List<String> codeList, List<Map<String, List<String>>> referencedList) {
    if (CollectionUtils.isEmpty(list) || CollectionUtils.isEmpty(codeList) || CollectionUtils.isEmpty(referencedList)) {
        return;
    }

    // 转换结构 key1-table key2-column value-codeList
    Map<String, Map<String, List<String>>> tableColumnWithCodeListMap = new HashMap<>();
    referencedList.forEach(referencedPerMap -> {
        if (MapUtils.isEmpty(referencedPerMap)) {
            return;
        }
        referencedPerMap.forEach((table, columns) -> {
            tableColumnWithCodeListMap.computeIfAbsent(table, k -> new HashMap<>());
            columns.forEach(column -> tableColumnWithCodeListMap.get(table).computeIfAbsent(column, k -> new ArrayList<>()).addAll(codeList));
        });
    });

    list.forEach(simulationTableDto -> {
        String simTableName = simulationTableDto.getTableName();
        String simTitle = simulationTableDto.getColumn().getTitle();
        tableColumnWithCodeListMap.computeIfPresent(simTableName, (table, columnMap) -> {
            if (columnMap.containsKey(simTitle)) {
                simulationTableDto.getColumn().setReferencedKpis(columnMap.get(simTitle));
            }
            return columnMap;
        });
    });
}

优化 private void addReferencedKpi(List<AnalysisTableDto> list, List<String> codeList, List<Map<String, List<String>>> referencedList) { if (CollectionUtils.isEmpty(list) || CollectionUtils.isEmpty(codeList) || CollectionUtils.isEmpty(referencedList)) { return; } // 转换结构 key1-table key2-column value-codeList Map<String, Map<String, List<String>>> tableColumnWithCodeListMap = Maps.newHashMap(); int size = referencedList.size(); for (int i = 0; i < size; i++) { String code = codeList.get(i); Map<String, List<String>> referencedPerMap = referencedList.get(i); if (MapUtils.isEmpty(referencedPerMap)) { continue; } referencedPerMap.forEach((table, columns) -> { tableColumnWithCodeListMap.putIfAbsent(table, Maps.newHashMap()); for (String column : columns) { tableColumnWithCodeListMap.get(table).putIfAbsent(column, Lists.newArrayList()); tableColumnWithCodeListMap.get(table).get(column).add(code); } }); } // 装饰引用kpi for (AnalysisTableDto simulationTableDto : list) { String simTableName = simulationTableDto.getTableName(); for (SimulationColumnDto column : simulationTableDto.getColumns()) { String simTitle = column.getTitle(); if (!tableColumnWithCodeListMap.containsKey(simTableName) || !tableColumnWithCodeListMap.get(simTableName).containsKey(simTitle)) { continue; } List<String> referencedCodeList = tableColumnWithCodeListMap.get(simTableName).get(simTitle); column.setReferencedKpis(referencedCodeList); } } }

这段代码的主要功能是将一个数据结构进行转换，并将转换后的结果装饰到数据模型中。下面是一些优化建议：

1. 使用stream API来简化代码，提高可读性和可维护性。

2. 使用Optional类来避免对null进行判断。

3. 使用更具有描述性的变量名来提高可读性。

4. 将List转换为Set来提高查找效率。

下面是优化后的代码：

private void addReferencedKpi(List<AnalysisTableDto> tableDtoList, List<String> codeList, List<Map<String, List<String>>> referencedList) {
    if (CollectionUtils.isEmpty(tableDtoList) || CollectionUtils.isEmpty(codeList) || CollectionUtils.isEmpty(referencedList)) {
        return;
    }

    Map<String, Map<String, Set<String>>> tableColumnWithCodeMap = new HashMap<>();
    IntStream.range(0, referencedList.size())
            .filter(i -> MapUtils.isNotEmpty(referencedList.get(i)))
            .forEach(i -> {
                String code = codeList.get(i);
                referencedList.get(i).forEach((table, columns) -> {
                    Map<String, Set<String>> columnWithCodeMap = tableColumnWithCodeMap.computeIfAbsent(table, k -> new HashMap<>());
                    columns.forEach(column -> columnWithCodeMap.computeIfAbsent(column, k -> new HashSet<>()).add(code));
                });
            });

    tableDtoList.forEach(tableDto -> {
        String tableName = tableDto.getTableName();
        tableDto.getColumns().stream()
                .filter(column -> tableColumnWithCodeMap.containsKey(tableName) && tableColumnWithCodeMap.get(tableName).containsKey(column.getTitle()))
                .forEach(column -> column.setReferencedKpis(tableColumnWithCodeMap.get(tableName).get(column.getTitle())));
    });
}